Instructions to use dodo2/gemma-3-4bit_finevision with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dodo2/gemma-3-4bit_finevision with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-3-4b-it") model = PeftModel.from_pretrained(base_model, "dodo2/gemma-3-4bit_finevision") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from dodo2/gemma-3-4bit_finevision: direct link, hf CLI and curl.
- Browser
- Download file 33.4 MB
-
https://huggingface.co/dodo2/gemma-3-4bit_finevision/resolve/main/tokenizer.json
- Command line
-
hf download hf://dodo2/gemma-3-4bit_finevision/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/dodo2/gemma-3-4bit_finevision/resolve/main/tokenizer.json
33.4 MB
- Xet hash:
- 8b5fc601bff8afacad7c8aeee3960400071085171edccb11a707ca9e0b3ec5c2
- Size of remote file:
- 33.4 MB
- SHA256:
- d786405177734910d7a3db625c2826640964a0b4e5cdbbd70620ae3313a01bef
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.